Control plane for governed cloud AI workloads

Turn AI workload ideas into governed cloud architecture.

Artifex helps platform teams move from intent to blueprint, guardrails, IaC artifacts, approvals, and cost visibility before infrastructure changes reach production.

Platform Surface

A tighter operating model for cloud AI architecture.

Bring platform engineering, governance, security, and finance stakeholders into the same control path before infrastructure work becomes a production change.

Intent Intake

Capture workload goals, constraints, data boundaries, runtime needs, and operating assumptions before design work starts.

Blueprint Generation

Translate platform intent into architecture options, service boundaries, dependencies, and reviewable assumptions.

Guardrail Review

Surface security, identity, data, network, and operations checks while architecture decisions are still changeable.

IaC Artifact Pipeline

Produce structured infrastructure artifacts and plan context for platform teams to inspect, adapt, and govern.

Cost Visibility

Bring estimated cost posture and operational tradeoffs into the same review path as architecture and controls.

Provider Adapter Architecture

Built around a provider-adapter model, with an AWS-first launch scope and room for disciplined platform extension.

Workflow

From intent to approved rollout plan.

Artifex converts early workload intent into a structured path that teams can inspect, challenge, and approve with evidence attached.

01

Define intent

Capture the business goal, workload shape, data posture, and operational constraints.

02

Generate blueprint

Create a reviewable architecture blueprint with services, dependencies, and assumptions.

03

Review guardrails

Check identity, network, data, compliance, and operations controls before handoff.

04

Produce IaC plan

Generate infrastructure artifacts and plan context for engineering review.

05

Approve rollout

Route final architecture and change context through accountable human approval.

Blueprint, guardrail, infrastructure-as-code, and approval workflow visualization

Governance

Keep architecture decisions accountable.

Guardrails, approval state, plan evidence, and cost context sit alongside the architecture itself, so reviewers are not reconciling disconnected documents after the fact.

Review packets with assumptions, risks, and plan context

Approval routing for architecture and rollout readiness

Provider-adapter architecture with AWS-first launch scope

Versioned infrastructure artifacts for engineering handoff

Workbench

Start shaping governed cloud AI workloads.

Use Artifex to align architecture, controls, IaC planning, and approvals before platform changes move forward.